Store Warehouse Salary in Hyderabad - PayScale

DESCRIPTION Amazon Business Data Analytics and Insights (ABDAI) team is looking for a Data Engineer (DE) to play a significant role in building their large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting, and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modelling metadata, building reports and dashboards, and administering the platform software. You are expected to build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You are required to support and manage growth of these data solutions. You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams. As a Data Engineer in ABDAI team you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change. About the teamAmazon Business Data Analytics and Insights (ABDAI) has two missions; (1) provide data that is accurate and reliable to accelerate business insights and data driven innovation in trustworthy, intuitive, and cost-efficient ways (2) predict and value customer actions for our business partners to be right a lot when taking decisions. ABDAI- Data Engineering team ensures that we have the right inputs to measure our business performance. Data is the voice of our customers and we source it from hundreds of AB and Non AB platform/systems as well as 3P applications that customers interact with. We own curated source of truth datasets and infrastructure to AB users WW and access to our data to external consumers through secure means. We power outreach campaigns for Sales, Marketing and Product teams through the HOTW data integrations we built various 3rd party application that AB has adopted for our needs. We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQLPREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQLDESCRIPTIONAre you passionate about data and code? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records and supports handling of translations data using AWS technologies? Do you want to create the next-generation product for self-service data transformation? If so, Translation Services team is for you! The successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and customer obsessed about ensuring secondary language experiences are indistinguishable from primary language experiences at Amazon scale.Key job responsibilitiesAs a Data Engineer, you would own the architecture of DW solutions for the enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use case. You would use your business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.A day in the lifeThe TS data analytics team processes data on billions of words translated per week and transforms it so that TS teams can use it for ML/LLM model training, quality audits for machine and human translators, invoicing, and data insights for tech and program teams. We divide our team between efforts to rearchitect 2 large data warehousing systems and implementing customer feature requests.About the teamOur vision is: Language will not stand in the way of anyone on earth using Amazon products and services. Our mission statement is: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Salary: . Date posted: 04/10/2024 09:20 AM